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1. Uncovering the distribution and limiting factors of Ericaceae-dominated shrublands in the French Alps

2. Spatio-temporal monitoring of plant water status using optical remote sensing data and in situ measurements.

3. A novel soybean mapping index within the global optimal time window.

4. Crop health assessment through hierarchical fuzzy rule-based status maps.

5. Remote Sensing Inversion of Water Quality Grades Using a Stacked Generalization Approach.

6. NDVI or PPI: A (Quick) Comparison for Vegetation Dynamics Monitoring in Mountainous Area.

7. Mapping Forest Carbon Stock Distribution in a Subtropical Region with the Integration of Airborne Lidar and Sentinel-2 Data.

8. An Innovative Tool for Monitoring Mangrove Forest Dynamics in Cuba Using Remote Sensing and WebGIS Technologies: SIGMEM.

9. Enhancing the Precision of Forest Growing Stock Volume in the Estonian National Forest Inventory with Different Predictive Techniques and Remote Sensing Data.

10. VPM 模型与转产系数结合的吉林省玉米估产.

11. Multiple remotely sensed datasets and machine learning models to predict chlorophyll-a concentration in the Nakdong River, South Korea.

12. Retrieval of total suspended matter concentration in the yellow river estuary offshore area based on QAA-RF model.

13. Unsupervised Change Detection Methods Applied to Landslide Mapping: Case Study in São Sebastião, Brazil.

14. Sentinel-2 Multispectral Satellite Remote Sensing Retrieval of Soil Cu Content Changes at Different pH Levels.

15. Simulation of canopy urban heat island at a block scale based on local climate zones and urban weather generator: a case study of Beijing.

16. Crop type mapping with temporal sample migration.

17. Recent Patterns and Trends of Snow Cover (2000–2023) in the Cantabrian Mountains (Spain) from Satellite Imagery Using Google Earth Engine.

18. Enhanced Monitoring of Sub-Seasonal Land Use Dynamics in Vietnam's Mekong Delta through Quantile Mapping and Harmonic Regression.

19. Forecasting Lakes' Chlorophyll Concentrations Using Satellite Images and Generative Adversarial Networks.

20. Developing a New Method to Rapidly Map Eucalyptus Distribution in Subtropical Regions Using Sentinel-2 Imagery.

21. Predicting Fractional Shrub Cover in Heterogeneous Mediterranean Landscapes Using Machine Learning and Sentinel-2 Imagery.

22. Remote Sensing Dynamics for Analyzing Nitrogen Impact on Rice Yield in Limited Environments.

23. EstuarySAT Database Development of Harmonized Remote Sensing and Water Quality Data for Tidal and Estuarine Systems.

24. Monitoring the Spatial Distribution of Cover Crops and Tillage Practices Using Machine Learning and Environmental Drivers across Eastern South Dakota.

25. Soil Salinity Mapping of Plowed Agriculture Lands Combining Radar Sentinel-1 and Optical Sentinel-2 with Topographic Data in Machine Learning Models.

26. Mapping Field-Level Maize Yields in Ethiopian Smallholder Systems Using Sentinel-2 Imagery.

27. Mapping Fruit-Tree Plantation Using Sentinel-1/2 Time Series Images with Multi-Index Entropy Weighting Dynamic Time Warping Method.

28. Detecting the three‐dimensional dynamics of post‐dam sandbars from Sentinel‐2 time‐series images: A case study in the lower Lancang–Mekong River.

29. Rock glaciers as proxy for machine learning based debris‐covered glacier mapping of Kinnaur District, Himachal Pradesh.

30. Artificial Intelligence Techniques in Crop Yield Estimation Based on Sentinel-2 Data: A Comprehensive Survey.

31. Monitoring wheat area using sentinel-2 imagery and In-situ spectroradiometer data in heterogeneous field conditions.

32. Assessing deep pools and water spread dynamics in semi-arid Banas River, India: a geospatial approach for conservation and sustainable management.

33. Vegetation Masking of Remote Sensing Data Aids Machine Learning for Soil Fertility Prediction.

34. Aboveground Biomass Mapping in SemiArid Forests by Integrating Airborne LiDAR with Sentinel-1 and Sentinel-2 Time-Series Data.

35. Early-Stage Mapping of Winter Canola by Combining Sentinel-1 and Sentinel-2 Data in Jianghan Plain China.

36. Towards Optimising the Derivation of Phenological Phases of Different Crop Types over Germany Using Satellite Image Time Series.

37. Exploring Factors Affecting the Performance of Neural Network Algorithm for Detecting Clouds, Snow, and Lakes in Sentinel-2 Images.

38. Multi-Stage Feature Fusion of Multispectral and SAR Satellite Images for Seasonal Crop-Type Mapping at Regional Scale Using an Adapted 3D U-Net Model.

39. Remote sensing vegetation Indices-Driven models for sugarcane evapotranspiration estimation in the semiarid Ethiopian Rift Valley.

40. A reservoir bathymetry retrieval study using the depth invariant index substrate cluster.

41. Satellite Assessment of Forest Health in Drought Conditions: A Novel Approach Combining Defoliation and Discolouration.

42. Study on the Influencing Factors of Forest Tree-Species Classification Based on Landsat and Sentinel-2 Imagery.

43. Evaluating pasture cover density mapping: a comparative analysis of Sentinel-2 and Spot-5 multispectral sensor images.

44. Categorization of Multiple Crops Using Geospatial Technology, Machine Learning and Google Earth Engine.

45. Evaluating Sugarcane Yield Estimation in Thailand Using Multi-Temporal Sentinel-2 and Landsat Data Together with Machine-Learning Algorithms.

46. Using Unmanned Aerial Vehicle Data to Improve Satellite Inversion: A Study on Soil Salinity.

47. Surface soil moisture estimate from Sentinel-1 and Sentinel-2 data in agricultural fields in areas of high vulnerability to climate variations: the Marche region (Italy) case study.

48. Mapping Local Climate Zones (LCZ) Change in the 5 Largest Cities of Switzerland.

49. Use of satellite images to monitor Leucoptera sinuella leaf damage in poplar plantations in central Chile.

50. A Highland Barley Crop Extraction Method Based on Optimized Feature Combination of Multiple Phenological Sentinel-2 Images.

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